Natural language processing technology research and development method based on graph theory

A technology of natural language processing and theory, applied in the field of research and development of natural language processing technology

Pending Publication Date: 2021-06-04
苏州英特雷真智能科技有限公司
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  • Application Information

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Problems solved by technology

[0004] At present, the research and development of natural language processing methods are all based on the direction of deep learning classifiers, combining graph theory with natural

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  • Natural language processing technology research and development method based on graph theory
  • Natural language processing technology research and development method based on graph theory
  • Natural language processing technology research and development method based on graph theory

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[0030] In order to make the objects, technical solutions and advantages of the present invention, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Examples of these preferred embodiments are illustrative in the drawings. The embodiments of the invention as depicted in the drawings are merely exemplary, and the present invention is not limited to these embodiments.

[0031] Here, it is also necessary to prevent the present invention in order to avoid unnecessary details, only the structural and / or processing steps associated with the approach according to the present invention, and omitted Additional details of the relationship of the present invention.

[0032] And, in the description of the present invention, the term "center", "upper", "lower", "left", "right", "vertical", "horizontal", "within", "outside", etc. Or the positional relationship is based on the orientation or positional relationship shown...

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Abstract

The invention discloses a natural language processing technology research and development method based on a graph theory, and the research method comprises the following steps: 1, storing a natural conversation through a graph database according to a Chinese character sequence, and instantly forming character association statistics of an N-Gram model; 2, conversation sentences are processed according to a sentence segmentation rule, a connection chain of characters is formed, when the class of data reaches a certain magnitude, the occurrence frequency of adjacent Chinese characters on the same chain is counted, and N-Gram data is formed; and 3, forming a pyramid structure from Chinese characters to words to phrases to sentences based on the rules, tightly binding the rules and Chinese character data, forming a processing method of data, namely a processing unit, through a graph theory method, and carrying out intervention calibration on the formed rules through a semi-supervised learning method. By means of the mode, the relation between the elements of the natural language can be extracted more quickly and more visually, and the extracted natural language rule is more accurate, more concise and easier to maintain.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, graph theory and natural language processing technology, in particular to a research and development method of natural language processing technology based on graph theory. Background technique [0002] Natural Language Processing (NLP, Natural Language Processing) is a discipline that studies the language issues of human-computer interaction, aiming at making computers understand language and realizing communication between humans and computers using natural language. [0003] Generally, the research and development of natural language processing technology is based on deep learning or statistical analysis of classifiers. According to the difficulty of technical implementation, such systems can be divided into three types: simple matching, fuzzy matching and paragraph understanding. Types of. No matter what type it is, it is the embodiment of the matching process of keyw...

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Application Information

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IPC IPC(8): G06F40/284G06F40/35G06F40/44G06F40/211G06F16/901
CPCG06F16/9024G06F40/211G06F40/284G06F40/35G06F40/44
Inventor 杜爽
Owner 苏州英特雷真智能科技有限公司
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